SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1951–1975 of 2366 papers

TitleStatusHype
Physics-constrained Bayesian inference of state functions in classical density-functional theory—0
Learning particle swarming models from data with Gaussian processes—0
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures—0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective—0
Data-driven polynomial chaos expansion for machine learning regression—0
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks—0
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models—0
Data-Driven Robust Covariance Control for Uncertain Linear Systems—0
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems—0
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery—0
Data-driven Uncertainty Quantification in Computational Human Head Models—0
Harnessing On-Machine Metrology Data for Prints with a Surrogate Model for Laser Powder Directed Energy Deposition—0
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification—0
Debiasing Mini-Batch Quadratics for Applications in Deep Learning—0
Decision Theoretic Bootstrapping—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification—0
Show:102550
← PrevPage 79 of 95Next →

No leaderboard results yet.